| 基于KPCA冗余检测的故障识别算法 |
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| 引用本文： | 李楠,张云燕,李言俊.基于KPCA冗余检测的故障识别算法[J].系统仿真学报,2011,23(10):2079-2082,2088. |
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| 作者姓名： | 李楠 张云燕 李言俊 |
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| 作者单位： | 西北工业大学航天学院,西安,710072 |
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| 基金项目： | 航天支撑基金(N9XW0002); 西北工业大学科技创新基金(2008KJ02011) |
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| 摘 要： | 工业过程中，采用传统贡献图方法识别故障时，由于没有考虑传感器发生故障而导致测量数据异常的情况，可能得到错误的辨识结果，对此提出一种故障识别的新思路。访方法通过设置多个传感器监测某一变量的变化情况，建立起测量值与待测变量之间的冗余关系，提出将检测这种关系是否保持作为翔定故障戍因的依据，并利用KPCA方法将原始测量数据映射...
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| 关 键 词： | 故障识别 故障类型 故障源 冗余检测 核主元分析 |
Fault Identification Algorithm by Redundancy Supervision Based on KPCA Method |
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| LI Nan,ZHANG Yun-yan,LI Yan-jun.Fault Identification Algorithm by Redundancy Supervision Based on KPCA Method[J].Journal of System Simulation,2011,23(10):2079-2082,2088. |
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| Authors: | LI Nan ZHANG Yun-yan LI Yan-jun |
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| Institution: | LI Nan,ZHANG Yun-yan,LI Yan-jun(College of Astronautics,Northwestern Polytechnic University,Xi'an 710072,China) |
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| Abstract: | During the industry process,as the abnormal measurements detected by the faulty sensors are not taken into consideration,an erroneous conclusion could be obtained by the traditional contribution plot means.To solve these problems,a new method for fault identification is proposed.After establishing redundant relationship between the measurement and procedure variables by selecting multi-sensors to supervise one state of the process,this algorithm analyzes the structure of measure space via its eigen matrix t... |
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| Keywords: | fault identification fault cause fault source redundancy supervision KPCA |
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